Biographical data of selected social insurance agencies in Germany (BASID 2007)
Biografiedaten ausgewählter Sozialversicherungsträger in Deutschland (BASID 2007)
Social Systems and Welfare
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Forschungsdatenzentrum der Rentenversicherung (FDZ-RV)
Berner Straße 1
Phone: +49 0931 6002-73519
Fax: +49 0931 6002-73203
Timeliness, transparencySurvey data is not involved, rather two existing registry data sources are matched.
Datasets are made available by the Research Data Centre; data are provided to the scientific community as a Scientific Use File (SUF), as well as a weakly anonymised data set accessible by on-site use.
Conditions of access
SUF is available after signing a research contract.
Differs from case to case.
Scientific Use Files: SPSS, STATA, SAS
Data is available only in German.
Data was collected in 2007 and had a sample size of 60,809 individuals.
Disproportional stratified random sample, stratified by insurance provider, sex, nationality and cohort.
Data from three data sets:
Integrierte Erwerbsbiografien (IEB) (Bundesagentur für Arbeit),
Betriebs-Historik-Panel (BHP) (Bundesagentur für Arbeit),
Germans belonging to the cohorts 1940 to 1977 with residence in Germany.
West Germany, East Germany
Sample: 30 to 67 years, Persons with a valid contributions account with the German Pensions Insurance as at 31.12.2007
Representative for persons with a valid contributions account with the German Pensions Insurance as at 31.12.2007
The data set connects longitudinal information from the pension insurance accounts with biographical data from the Federal Employment Agency (BA).
Information by the Sample of Pension Insurance Accounts includes employment, unemployment, education, military/civil service, periods of sickness, child-raising periods, self-employment subject to social insurance, non-professional long-term caring (since 1995), minor employment (since 1999), pension and place of residence.
Information by the data sets of the Federal Employment Agency (BA) includes profession, actual job, receipt of unemployment benefits, times of job seeking, measures during job seeking, information on the enterprise, places of residence and occupation, occupational status and working time.
• Hochfellner, Daniela, Müller, Dana, & Wurdack, Anja. BASiD. Biografiedaten ausgewählter Sozialversicherungsträger in Deutschland (Institut für Arbeitsmarkt- und Berufsforschung). FDZ-Datenreport 09/2011. Forschungsdatenzentrum der Bundesagentur für Arbeit im Institut für Arbeitsmarkt- und Berufsforschung. Nürnberg. http://doku.iab.de/fdz/reporte/2011/DR_09-11.pdf
• Hochfellner, Daniela, Voigt, Axel, Budzak, Ute, & Steppich, Birgit. Das Projekt BASiD: Biographiedaten ausgewählter Sozialversicherungsträger. Projektinhalte, aktueller Stand der Arbeiten und Analyse-möglichkeiten, in DRV Schriften. Nürnberg, 2011.
Classification of occupations: Klassifizierung der Berufe. Systematisches und alphabetisches Verzeichnis der Berufsbenennungen, Eds.: Bundesagentur für Arbeit
Classification for Industrial Branches WZ73, WZ93, WZ03, WZ08 referring to NACE
Occupational Classification by Blossfeld
EGP – Classes (Erikson, Goldthorpe and Portocarero)
Magnitude Prestige Skala - MPS
Linkage based on data user is not possible.
The Research Data Centre of the Federal Employment Agency in the Institute for Employment Research (FDZ BA/IAB) and the Research Data Centre of the German Pension Insurance (FDZ-RV) offer longitudinal individual-level data sets. These data sets contain, on the one hand, information on the social security notifications and, on the other hand, characteristics of the administrative procedures of both institutions. In each institution, only information about the accomplishment of their own current tasks is recorded. The ambition of this project is to compile a common data set which contains data of the RV and the BA, respectively the IAB. The richness of information on individuals will be increased through filling up gaps in the single data sources with information of the other data source. This will provide new opportunities for scientific research. The combination of different data sources also supports the improvement of the quality of administrative records. (Source: http://doku.iab.de/fdz/reporte/2011/DR_09-11.pdf
) The sample is very large and data have a high validity and correctness. It is possible to carry out differentiated analyses in small groups. Data comprise a large time frame – the whole insurance biography. There are no non-responses or memory failures. A comprehensive catalogue of items on the employment biography is recorded. The sample is very complex, descriptive results have to be analysed with sample weights. Only biographical information that is connected to pension insurance is recorded. Information on civil servants, occupationally insured (berufsständisch Versicherte) and foreigners without permanent residence status are missing. Information on (married) couples and households are also missing. There are no data on men and their children.
- The information about this dataset was compiled by the author:
- Andreas Motel-Klingebiel
- (see Partners)